AIbase
EN
Home
Swinv2 Tiny Patch4 Window8 256 Finetuned Og Dataset 5e
S

Swinv2 Tiny Patch4 Window8 256 Finetuned Og Dataset 5e

Developed by Gokulapriyan
This model is a fine-tuned image classification model based on the Swin Transformer V2 Tiny architecture, achieving 96.35% accuracy on the evaluation set.
Image Classification
Transformers
Open Source License:Apache-2.0#High-precision image classification#SwinV2 architecture#Small window attention
Downloads 15
Release Time : 2/15/2023

Model Overview

This is a fine-tuned model based on the Swin Transformer V2 Tiny architecture, specifically designed for image classification tasks. The model underwent 5 epochs of fine-tuning on the target dataset, demonstrating excellent performance.

Model Features

High Accuracy
Achieves 96.35% classification accuracy on the evaluation set, demonstrating outstanding performance.
Efficient Architecture
Based on the Swin Transformer V2 Tiny architecture, balancing computational efficiency and model performance.
Rapid Fine-tuning
Requires only 5 training epochs to achieve high performance, ensuring efficient training.

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Computer Vision
General Image Classification
Can be used to classify various types of images
Achieves 96.35% accuracy on the evaluation set
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase